Top Machine Learning Jobs in Paris

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

Sell NVIDIA software solutions across assigned EMEA regions: build executive relationships, co-sell with account and channel partners, drive software revenue, manage pipeline/forecasting in SFDC, communicate technical value for virtualized datacenters, cloud-native and AI/ML workloads, coordinate internal resources, and support international travel.

Develop and improve ML models for structural biology, lead computational discovery projects with external partners, translate research into scientific impact, design and execute protein engineering/discovery campaigns, collaborate with experimental scientists, and apply software engineering best practices.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

Lead and scale first-line Financial Crime teams (transaction monitoring, fraud, regulatory ops). Build quality and control frameworks, define KPIs, manage day-to-day alert review and SAR processes, drive analytics and automation with Product/Engineering, and deliver regulatory reporting and audit support. Hire, coach, and optimize team performance to improve detection, reduce false positives, and operational efficiency.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

This role involves partnering with the research team on code models, managing operations, ensuring research visibility, and facilitating communication with leadership.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Own GDPR and privacy operations (DSRs, ROPA, DPAs, DPIAs). Embed privacy into product with ML/tech teams. Lead day-to-day commercial contracting and support broad legal needs across trademark, corporate, labour, and compliance. Opportunity to grow into DPO.

Lead product vision and delivery for complex technical platforms (ML, data, middleware). Translate user and executive needs into actionable roadmaps, collaborate with engineering, incorporate customer feedback, and apply hands-on technical understanding to drive data-driven product decisions.

The Solutions Architect will drive NVIDIA technology adoption in the Media and Entertainment sector, focusing on AI platforms, solution architecture, and customer engagement for video analytics, content generation, and scalable solutions.

The Senior Technical Solutions Engineer will manage complex technical escalations, perform root cause analyses, lead incident responses, and develop tools and metrics to enhance support efficiency.

As a Technical Account Manager, you'll drive customer adoption of AI tools, manage projects, deliver demos, and advocate for user feedback while collaborating across teams to ensure customer success.

As a Machine Learning Engineer, you will design and optimize models for tactical robots, leveraging self-supervised learning from EO and IR data.

The Quantitative Researcher will conduct alpha research, develop predictive models using various datasets, and enhance Python-based software tools.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

As a Growth Manager, you'll optimize user acquisition across multiple apps using innovative strategies while collaborating with various teams to boost efficiency and adapt to industry trends.